metadata
language:
- zh
tags:
- named entity recognition
license: apache-2.0
datasets:
- CMeEE
metrics:
- micro f1
Global Pointer实体抽取模型
模型介绍
数据集:CMeEE中文医学文本命名实时识别
使用方法
pip install litie
from pprint import pprint
from litie.pipelines import NerPipeline
pipline = NerPipeline("global-pointer", model_name_or_path="xusenlin/cmeee-global-pointer")
text = "可伴发血肿或脑梗死而出现局灶性神经体征,如肢体瘫痪及颅神经异常等。"
pprint(pipline(text))
更多模型的训练和推理详见 lit-ie